Forecast Aggregation

EC, pp. 61-62, 2017.

Cited by: 0|Bibtex|Views5|DOI:https://doi.org/10.1145/3033274.3084090
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Other Links: dblp.uni-trier.de|dl.acm.org

Abstract:

Bayesian experts with a common prior that are exposed to different evidence possibly make contradicting probabilistic forecasts. A policy maker who receives the forecasts must aggregate them in the best way possible. This is a challenge whenever the policy maker is not familiar with the prior nor the model and evidence available to the ex...More

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